Algorithmic Trading DMA Handbook

objective

Execute algorithmic trading dma handbook work with reproducible research, explicit controls, and deployable outputs.

workflow

1. define execution benchmark, urgency, and participation limits.
2. profile venue liquidity, queue dynamics, and spread behavior before routing.
3. configure order instructions and routing logic with deterministic safeguards.
4. attribute slippage into spread, impact, timing, and opportunity components.
5. deploy only after stable execution quality through stressed market windows.

required diagnostics

• benchmark-relative slippage by venue, session, and order urgency.
• fill-rate and queue-position decay under volatility shocks.
• latency tail behavior with packet loss and feed-delay scenarios.
• fee, rebate, and borrow assumptions reflected in net execution cost.